25 resultados para NEOFORMANS VAR. GATTII
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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economics
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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economics
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This paper assesses empirically the effect of oil price shocks on Portuguese aggregate economic activity, industrial production and price level. We take the usual multivariate VAR methodology to investigate the magnitude and stability of this relationship. In doing so, we follow the approach presented in the recent literature and adopt different oil price specifications. We conclude that, as for most industrialized countries, the nature of this relationship changed in the mid-1980s. Furthermore, we show that the main Portuguese macroeconomic variables have become progressively less responsive to oil shocks and the adjustment towards equilibrium has become increasingly faster.
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Dissertação para obtenção do Grau de Mestre em Engenharia Química e Bioquímica
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Dissertação para obtenção do Grau de Doutor em Alterações Climáticas e Políticas de Desenvolvimento Sustentável
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World population is increasing at an alarming rate while food productivity is decreasing due to the effect of various abiotic stresses. Soil salinity is one of the most important abiotic stress and a limiting factor for worldwide plant production. In addition to its important effects on yield, salt stress affects numerous cellular activities, including cell wall composition, photosynthesis, protein synthesis, ions and organic solutes. Up to 20% of the irrigated arable land in arid and semiarid regions is already salt affected and is still expanding. Improving salt tolerant varieties is of major importance, and efforts should be focused on finding adaptive mechanisms which are involved in salinity tolerance. In this study, several spelt wheat (Triticum aestivum var. Spelta) genotypes and one cultivar of modern bread wheat were used to screen them for salt tolerance. Spelt is an old-European cereal crop currently attracting renewed interest as a food grain because it is said to be harder than wheat and requires less fertilizer. Spelt wheat is also becoming very attractive genetic source by plant breeders due to its wide adaptation ability to various stressful conditions such as soil salinity. In this study morphological parameters (e.g., leaf appearance; shoot elongation), dry matter production, mineral nutrients (especially Na and K), and activity of antioxidative enzymes were measured to select superior genotypes of spelt for salt tolerance. The results showed that Spelt genotype Sp41 is a salt sensitive genotype and genotypes Sp69, Sp96 and Sp912 are good candidates for salt tolerant genotypes.
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This study uses a VAR methodology to evaluate the impact of the macroeconomic conditions and money supply in the fluctuation of nonperforming loans for the Portuguese economy. Additionally, the feedback effect of nonperforming loans growth to the economy and specially to the credit supply is analised. The study is motived by the hypothesis that loan quality is procyclical and that the fast growth of credit supply has a positive relation with the growth of nonperforming loans. The hypothesis that nonperforming loans reinforce economic fragilities and credit market frictions is also tested. Empirical results corroborate both hypothesis presented. Hence, it was possible to establish that the macroeconomic conditions measured by GDP and unemployment and the fast growth of credit supply contribute to the development of nonperforming loans. Furthermore, the growth of nonperforming loans reinforces the economic cycle, as it contributes to the deterioration of macroeconomic conditions and creates frictions in the credit market that may results in a credit crunch.
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This Working Project studies five portfolios of currency carry trades formed with the G10 currencies. Performance varies among strategies and the most basic one presents the worst results. I also study the equity and Pure FX risk factors which can explain the portfolios’ returns. Equity factors do not explain these returns while the Pure FX do for some of the strategies. Downside risk measures indicate the importance of using regime indicators to avoid losses. I conclude that although using VAR and threshold regression models with a variety of regime indicators do not allow the perception of different regimes, with a defined exogenous threshold on real exchange rates, an indicator of liquidity and the volatilities of the spot exchange rates it is possible to increase the average returns and reduce drawdowns of the carry trades
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This paper studies how shocks in the prices of Food, Energy and Financial Assets affect private consumption using a VAR Model. Then, the total effects are broken into direct and indirect effects, using the coefficients taken from the previous model. We use quarterly data for the Portuguese economy from the last 20 years. We found that energy prices and financial assets have a strong connection with consumption, suggesting that the economy may be too exposed to shocks in these markets.
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A estrutura temporal das taxas de juro, também conhecida por yield curve ou curva de rendimentos define a relação entre as taxas de juros e o prazo de vencimento (ou maturidades) dos investimentos feitos. Assim, o desenvolvimento de modelos que possibilitem a obtenção de previsões precisas sobre a estrutura temporal das taxas de juro e que permitam estudar a dinâmica da evolução das taxas de juro é de crucial importância em diversas áreas de financiamento. Neste estudo investigou-se a performance de diferentes métodos de previsão para obter a estrutura temporal das taxas de juro da Zona Euro, considerando o período entre 2009 e 2015. Em termos mais específicos, foi analisada a capacidade preditiva do modelo de Nelson-Siegel & Svensson assumindo que os parâmetros resultantes da estimação da especificação paramétrica podem ser modelizados através de métodos de séries temporais univariados (modelos ARIMA, Random walk) e multivariados (modelos VAR) e Redes Neuronais Artificiais (RNA) individuais e conjuntas. Os resultados deste estudo mostram que (i) as RNA com a previsão dos parâmetros em simultâneo exibem os valores de erro mais baixos para as maturidades de curto e médio prazo (3 meses a 5 anos); (ii) As RNAs individuais são melhores para prever as taxas de juro nas maturidades compreendidas entre os 7 e os 10 anos, e que (iii) para as maturidades de longo e muito longo prazo (15 e 30 anos respetivamente) deverá ser escolhido o modelo VAR(1). Estes resultados são robustos e consistentes para todos os horizontes de previsão analisados (1,2 e 3 meses). Contudo, no período analisado nenhum dos modelos testados apresenta valores de erro inferiores aos obtidos com o modelo Random Walk.